mcp-use: mcp-use is a full-stack framework for Model Context Protocol (MCP), enabling the creation of MCP servers, clients, and AI agents. It supports development in both Python and TypeScript with minimal code.; Matryoshka: Matryoshka (RLM) addresses the limitation of fixed LLM context windows by using a recursive language model approach. Instead of chunking or RAG, the LLM outputs commands in a constrained symbolic language called Nucleus, which are executed by the Lattice logic engine. This reduces entropy, enables safe execution, and achieves 97% token savings through handle-based storage.
Building intelligent AI agents capable of using tools and reasoning across steps
Document analysis: search, filter, count, and sum large log files